Abstract:Massive heterogeneous and polymorphic data can play a great role in smart distribution network with the gradual improvement of automation, informatization and intelligence. How to apply these data is both an opportunity and a challenge. First, the data sources and characteristics of smart distribution network are summarized, including both internal data of power grid and external data of social economy. The method of big data mining, analysis, and application is also expounded so that data cleansing, analysis, and big data applications can be implemented. Then the smart distribution network big data analysis and application platform is introduced in detail, including the overall framework and information security protection system. Finally, based on the platform, State Grid Hunan Electric Power Company Limited have tried some typical application scenarios such as load forecasting, fault location, operation state evaluation and prediction of distribution network combined with its own business needs. The research and application results show that the lean management level of distribution network can be effectively improved by using the big data technology to fully excavate and analyze the characteristics and correlation of smart distribution network data.